Description
You will develop and deploy AI models focused on deep learning, computer vision, and real-time image processing.
Responsibilities
- Develop and optimize AI models using techniques like quantization, pruning, distillation, and factorization.
- Interpret training results and metrics to ensure model accuracy and prevent overfitting.
- Interface with peers and cross-functional groups to improve workflows and code quality.
- Fine-tune and deploy open-source ML models across computer vision, audio, and language domains.
- Adopt new architectures and programming practices to meet future technical goals.
Required Skills
- 6+ years of experience in AI model development.
- Expertise in deep learning, computer vision, and real-time image processing.
- Proficiency with TensorFlow and PyTorch.
- Familiarity with CNNs, GANs, and Transformer architectures for medical image analysis.
- Experience with data preprocessing, augmentation, and large-scale dataset handling.
- Strong understanding of software engineering principles.
- Experience training ML models in Python on large datasets.
- Working knowledge of 3D image visualization, OpenGL/DirectX/Python.
- Excellent problem-solving and project management abilities.